Predicting Chinese Stock Market Price Trend Using Machine Learning Approach

The stock1 market is dynamic, noisy and hard to predict. In this paper, we explored four machine learning models using technical indicators as input features to predict the price trend 30 days later. The experimental dataset is Shanghai Stock Exchange(SSE) 50 index stocks. The result demonstrates that ANN performs better than the other three models and is promising to find some profitable patterns.

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